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Dataset(s) To Schema

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Dataset(s) To Schema

Dataset(s) To Schema

Developed by

Zuzka Pelechová

Zuzka Pelechová

Maintained by Community

Takes a Dataset ID(s) and outputs a JSON schema of the contents of the dataset into key value store.

0.0 (0)

Pricing

Pay per usage

0

1

0

Last modified

a day ago

You can access the Dataset(s) To Schema programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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"description": "IDs of the dataset for which we are trying to generate schema",
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"type": "string"
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"options": {
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"example": "latest"
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"timeoutSecs": {
"type": "integer",
"example": 300
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"memoryMbytes": {
"type": "integer",
"example": 1024
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"diskMbytes": {
"type": "integer",
"example": 2048
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"buildId": {
"type": "string"
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"defaultKeyValueStoreId": {
"type": "string"
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"defaultDatasetId": {
"type": "string"
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"defaultRequestQueueId": {
"type": "string"
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"DATASET_WRITES": {
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Dataset(s) To Schema OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

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By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Dataset(s) To Schema from the options below:

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